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- Add predefined_plots.py with climate comparison, disaster, population plots
- Add extract_era5_climatology_direct() for pre-extraction before agents
- Add prepare_predefined_data node with conditional routing (skip data_analysis_agent when python_REPL disabled)
- Support all climate model variable naming conventions (nextGEMS, AWI-CM, DestinE, CMIP6)
- Map descriptive column names ("Present Day Temperature") to variable types for cross-dataframe matching
- Compute ERA5 wind speed from u10/v10 components for overlay
- Update data_analysis_agent prompt to encourage ERA5 time series retrieval
- Improve logging for debugging plot generation issues
…eflection scoring, data format warnings, no plot paths in final report
kuivi
approved these changes
Feb 19, 2026
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Significant upgrade to the climate reporting pipeline and agent reliability.
ERA5 Ground Truth: Added tools to pull ERA5 climatology (2015-2025) as a mandatory observational baseline.
Improved Agent: Refactored the data_analysis_agent and updated system_role for high-precision, professional reports.
Better Visuals: Standardized scientific plotting (units, color schemes, and axis conventions) with an automated reflection/scoring system for charts.
UI Cleanup: Reorganized the Streamlit interface to better categorize and display climate, disaster, and population data.